I am new to Tableau and I have created a crosstab that shows a count of items per type. I want to add a column to my table. I need to know the percentage of the whole - I looked up a couple of things but I can't seem to find this exact problem.
Type |Count |% of Whole
-----------------------------------
A |10 |1%
B |99 |9.9%
C |256 |25.6%
D |300 |30%
E |335 |33.5%
After reading some I think my issue is that I am not sure how to derive a calculation that is going to give a TOTAL # of Types. In Excel I would take the row value divided by the sum of all rows. Additionally I am fairly certain that this will lead to an issue once I filter this table - not sure I know how to preserve the percentages with filters.
I am using Tableau 9.2. Thanks in advance for any help.
You can create the following calculated field:
SUM([Count])/TOTAL(SUM([Count]))
TOTAL takes into consideration all values of your variable.
Alternatively, you can use quick table calculation by right-clicking on count (here I'm using an example from the Superstore dataset):
Related
For two tables each with datetime and ticker symbol columns, how can we achieve the functionality of the binary function bin within each ticker group. That is, instead of returning the latest index from the entire left-table prior to the time of each right-table row, for a given right-table row it should return the latest index from the left-table amongst only the rows of the same ticker symbol as the right-table row.
My first thought would be to add a per-group index in the left-table, apply bin on each ticker group for it’s group-index and then use the unique (ticker,group-index) pair to find the index on the full left-table. However, I am not sure how to implement this or if this is the best way to achieve the desired functionality.
Could you give some sample inputs and desired output?
This sounds like something you can solve with aj
Check https://code.kx.com/q/ref/aj/ for details
I am trying to filter a table visualization of all of my data by looking to see if a Study Number contains Activity A. If a Study Number contains Activity A then I want to filter for all rows containing those Study Numbers even if the Activity is not A. See mock data below. In my real data set I have ~55,000 rows.
I have created a calculated to return Study Numbers if Activity= A but I am not sure where to go from there. Thanks for any help.
If(UniqueConcatenate([Activity]) OVER ([Study Number])~="A","Y","N")
Will give you this resulting column that you can then filter on (or you can use the formula as a Data Limiting Expression:
Either I am the first person to ever need to display percentages in Tableau or I do not know what to search for! I highly suspect it is the latter...
I believe what I am attempting to ask is how to make a calculated non-aggregated field by dividing by an aggregated number. Although I would prefer just to be able to display the percentages instead of a whole number.
This is how I would do it in Excel:
The data that already exists is Column A and B. In Tableau these would be non-aggregated. What I need to do in Tableau is to generate what is column C (also non-aggregated) because it does not exist in my data. In excel, all I did to get the aggregate number (total) of column B was:
sum(B1:B4)
And for the column C:
=B1/$B$5
But I can't seem to do this at all in Tableau. When I try to use the same syntax, I get an error message: "Cannot mix aggregate and non-aggregate arguments with this function."
Instead of having a calculated field, you can use a Quick Table Calculation on the column.
Right-click the pill of your data > Quick Table Calculation > Percent of Total. This will show the percentages instead. If you want to keep both, just duplicate column b first and then add the table calculation to the new column.
I have a really basic question that I can't figure out. I need to create a table that has multiple calculated fields, but I need only one of the calculated fields to be filtered for a specific dimension value. For example, I have the following data set (dummy data) and I want to create a table that will include total clicks for both companies, but [cost per click] from one company only, company B.
DATA SET
Company| Clicks| $ Cost
------------------------
Comp A | 100 | $20
Comp B | 200 | $40
WHAT I'M LOOKING FOR
CLICKS | COST/CLICK
TOTAL 300 | $0.13
$0.13 comes from 40/300; $40 from company B and 300 clicks from both company A and B.
How do you create a table that has multiple calculations but with one of those calculations filtered on one dimension value only?
One simple calculated field:
sum(if [Company] = 'B' then [Cost] end )/sum([Click])
This should get you in the right direction.
Based on your question and your comment, you want to divide the cost by the TOTAL number of clicks in your dataset.
Create a calculated field called "TotalClicks" and enter this formula
window_sum(sum([Clicks])) // This formula will sum the clicks field for all rows
Create a calculated field called Cost / Clicks and enter this formula
sum([Cost]) / [TotalClicks]
Add the Cost / Clicks field to the sheet and it should look like this
NOTE: If you need to partition / group your report, you may have to play around with this some. I don't use window functions within tableau very often since I usually handle the aggregation at the datasource level instead.
NOTE: Since you mentioned filtering, I will add this statement -- If you filter out any of your data, that data will not (cannot) be included in any calculated fields (To the best of my knowledge and experience, anyway). If you need to include that data (total clicks), I think the only option is to add that aggregated total to your dataset - otherwise, tableau can't calculate it if you are filtering it out.
Edit2: If you cannot change the underlying dataset, you could accomplish this by creating another datasource and joining it to your inital data source --
Data > Add Datasource, add the datasource again and change the name so you can identify it
Click Data > Edit Relationships. Click Custom and REMOVE any linked fields -- this will essentially produce a Cartesian join (every record in your first DataSource will have every reocrd from your second Datasource)
Select the second datasource and create a calculated field (ClicksTotal_DS2) using the same window_sum function
Select the first datasource and create a calculated field (named Cost / Clicks_DS2) using this formula
sum([Cost])/ [Sheet1 (test) (2)].[ClicksTotal_DS2]
Now you can apply a filter to your first data source, and your second data source will still calculate the total.
Trying to figure out tableau calculated fields:
I would like to calculate the occurrence of a row variable. Example:
Fruit | Occurrence
Apple | 2
Apple | 2
Orange | 1
Banana | 1
Occurrence should be the calculated field which in Excel would be =COUNTIF([fruit]=[#fruit])
What's the equivalent syntax for Tableau?
Just take in consideration that if you use "FIXED" the filters won`t wot
I suggest to use "INCLUDE"
{INCLUDE[Fruit] : COUNT([Fruit])}
My solution works with WINDOW calculations. Also, it requires data disaggregation: Tableau online documentation
Code for discrete Calculation2 (Compute using PANE DOWN):
RUNNING_COUNT(ATTR([Fruit]))
Code for discrete Calculation3 (Compute using PANE DOWN):
WINDOW_MAX([Calculation2])
Whether or not this still works when you shuffle around the values in the data source, I do not know. You would need sorting for the Fruit column then, I guess.
I've realised the right answer is:
{FIXED [Fruit] : COUNT([Fruit])}
Where fixed creates a set array filtering the all rows containing the current row's same variable.